IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

datapine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

David Menninger's Analyst Perspectives

OCTOBER 16, 2024

As I noted in the 2024 Buyers Guide for Operational Data Platforms , intelligent applications powered by artificial intelligence have impacted the requirements for operational data platforms. Traditionally, operational data platforms support applications used to run the business.

Internet of Things 130

Internet of Things Data-driven Data Warehouse Interactive 130

Data Science 101

FEBRUARY 22, 2020

Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. Amazon Forecast now uses public Holidays from 30 Countries Forecast, which is a time-series forecasting tool, supports holidays from many countries now.

Data Science 103

Data Science Forecasting Data Warehouse Metrics 103

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. To achieve this, first requires getting the data into a form that delivers insights.

Sales 91

Sales Forecasting Snapshot Management 91

CIO Business Intelligence

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near future.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

AWS Big Data

FEBRUARY 1, 2023

This enabled the teams to generate the optimal plan to place purchase orders for devices by analyzing the different datasets in near-real time with appropriate business logic to solve the problems of the supply chain, demand, and forecast. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

bridgei2i

APRIL 21, 2021

The 80s saw workflows being operationalized, and by the 90s, the advent of planning systems and demand forecasting systems had caused many advancements. The 2000s saw data warehouses being created and used as business intelligence picked up. Somaiya Institute of Management Studies and Research, Mumbai.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies. C-suite support for investments is essential.

Strategy 132

Strategy Digital Transformation Cost-Benefit Forecasting 132

IBM Big Data Hub

APRIL 28, 2022

Problem : Traditionally, developing a solid backorder forecast model that takes every factor into consideration would take anywhere from weeks to months as sales data, inventory or lead-time data and supplier data would all reside in disparate data warehouses. How does a data fabric impact the bottom line?

Data Warehouse 77

Data Warehouse Forecasting Metadata Predictive Modeling 77

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 109

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 109

CIO Business Intelligence

JUNE 12, 2024

Throughout its digital journey, UK Power Networks has had to deal with the legacy technology landscape of three separate license areas and has built performance metrics, KPIs, and service level agreements (SLAs) to ensure reliability while advancing services and performance afforded by the cloud and connected data.

Digital Transformation 116

Digital Transformation Cost-Benefit Forecasting Metrics 116

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Factory. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

IBM Big Data Hub

OCTOBER 4, 2023

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? from 2022 to 2026.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 89

Data Architecture Optimization Data Warehouse Metadata 89

Jedox

APRIL 8, 2021

It also needs to be based on insights from data. Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Analyze: Using information and knowledge from the data the organization collected over time. an approved budget).

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Cloudera

OCTOBER 18, 2022

However, we quickly found that our needs were more complex than the capabilities provided by the SaaS vendor and we decided to turn the power of CDP Data Warehouse onto solving our own cloud spend problem. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.

IT 89

IT Data Warehouse Dashboards Visualization 89

CIO Business Intelligence

OCTOBER 10, 2022

The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes . FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52

Sisense

AUGUST 4, 2021

AI-driven explanations will calculate and show the relative impact of the factors selected, giving users more control over their data and displaying correlations between different elements over time. Optimize your cloud data warehouse cost forecasting.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

Cloudera

FEBRUARY 28, 2019

For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes. However, as its subscriber base grew, the business needed a new data warehouse that could support more data and more accurately predict customer behavior.

Data Warehouse 56

Data Warehouse Forecasting Data-driven Dashboards 56

Jedox

MAY 20, 2021

Educate your colleagues about the importance of integrating data. After all, their team also benefits from not having to deal with data exports on a regular basis. A data warehouse is a good first step to enable Finance, Sales, and production planners to work more collaboratively based on the same data.

Sales 98

Sales Forecasting Manufacturing Finance 98

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

CIO Business Intelligence

OCTOBER 17, 2023

The company has also added new capabilities to its planning and budgeting feature to help enterprises automate data analysis for preparing budgets. Bill Capture, too, has been made generally available.

IT 131

IT Finance Sales Enterprise 131

IBM Big Data Hub

OCTOBER 30, 2023

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Online Analytical Processing 132

Online Analytical Processing OLAP Analytics Data Warehouse 132

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

Jedox

JANUARY 7, 2021

After data preparation comes demand planning, where planners need to constantly compare sales actuals vs. sales forecasts vs. plans. While many organizations already use some form of planning software, they’re often challenged by fragmented systems resulting in data silos and, therefore, inconsistent data.

Sales 81

Sales Forecasting Data Warehouse Finance 81

Smart Data Collective

DECEMBER 13, 2022

Five Best Practices for Data Analytics. Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Select a Storage Platform.

Visualization 137

Visualization Key Performance Indicator Sales Advertising 137

Cloudera

FEBRUARY 8, 2021

Data Enrichment – data pipeline processing, aggregation and management to ready the data for further analysis. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). ECC will use Cloudera Data Engineering (CDE) to address the above data challenges (see Fig.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Smart Data Collective

OCTOBER 13, 2021

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. How does Data Virtualization complement Data Warehousing and SOA Architectures?

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 69

Modeling Data Warehouse Machine Learning Testing 69